Feasibility of Evaluation of Salt Content in Canned Sardine in Oil by Near Infrared Spectroscopy

Srikornkarn, Sarocha; Sirisomboon, Panmanas

doi:10.1016/j.aaspro.2014.11.053

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The ATR cell was made of horizontal ZnSe crystal which presented an incidence angle of 45 ° and total reflection (n=10). To prepare a representative sample for scanning, the content of each canned tuna was transferred into 250 mL plastic beaker; then, the tuna was mixed by using a homogenizer (T 25 digital ULTRA-TURRAX®, IKA) with a speed of 10000 rpm for 5 minutes, according to previous findings (Srikornkarn and Sirisomboon, 2014). Then, the ground sample was deposited on the crystal and gently pressed with a press accessory ensuring good contact between the sample and the crystal.…”

Section: Mid-infrared Spectroscopy Measurementsmentioning

confidence: 99%

Mid infrared spectroscopy combined with chemometric tools for the identification of canned tuna species in brine

Boughattas

Karoui

2021

Journal of Food Composition and Analysis

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Section: Mid-infrared Spectroscopy Measurementsmentioning

confidence: 99%

Mid infrared spectroscopy combined with chemometric tools for the identification of canned tuna species in brine

Boughattas

Karoui

2021

Journal of Food Composition and Analysis

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“…This force induces the change in dipole moment in the bonds and NIR absorbance is then presented [3]. Many researchers have reported on NaCl in many mediums, such as in canned sardine [4], in hot-smoked salmon [5], and in the soil [6], which could be detected using NIR spectroscopy. However, the application of NIR spectroscopy for detecting salinity in natural water is very difficult due to the variety and complexity of natural water composition.…”

Section: Introductionmentioning

confidence: 99%

Classification of saline water for irrigated agriculture using near infrared spectroscopy coupled with pattern recognition techniques

2019

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This research aimed to create near infrared (NIR) spectroscopy models for the classification of saline water with a pattern recognition technique. A total of 112 water samples were collected from the Tha Chin river basin in Thailand. Water samples with salinity less than 0.2 g/l were identified as suitable for agriculture, while water samples with salinity higher than 0.2 g/l were found to be unsuitable. The NIR spectra of water samples were recorded using a Fourier transform (FT) NIR spectrometer in the wavenumber of 12,500–4,000 cm-1. The salinity of each water sample was analysed by electrical conductivity meter. Identification models were established with 5 supervised pattern recognition techniques including k-nearest neighbour (k-NN), support vector machine (SVM), artificial neural network (ANN), soft independent modelling of class analogies (SIMCA), and partial least squares-discriminant analysis (PLS-DA). The performance of the NIR model was carried out with a split-test method. About 80% of spectra (90 spectra) were randomly selected to develop the classification models. After model development, the NIR spectroscopy models were used to classify the categories of the remaining samples (22 samples). The ANN model showed the highest performance for classifying saline water with precision, recall, F-measure and accuracy of 84.6%, 100.0%, 91.7% and 90.9%, respectively. Other techniques presented satisfactory classification results with accuracy greater than 68.2%. This point indicated that NIR spectroscopy coupled with the pattern recognition technique could be applied to classify saline water for agricultural use according to salinity level in natural resources.

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Non-Targeted Identification of Brine Covered Canned Tuna Species Using Front-Face Fluorescence Spectroscopy Combined with Chemometric Tools

2019

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Feasibility of Evaluation of Salt Content in Canned Sardine in Oil by Near Infrared Spectroscopy

Cited by 3 publications

References 6 publications

Mid infrared spectroscopy combined with chemometric tools for the identification of canned tuna species in brine

Mid infrared spectroscopy combined with chemometric tools for the identification of canned tuna species in brine

Classification of saline water for irrigated agriculture using near infrared spectroscopy coupled with pattern recognition techniques

Non-Targeted Identification of Brine Covered Canned Tuna Species Using Front-Face Fluorescence Spectroscopy Combined with Chemometric Tools

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